Zobrazeno 1 - 10
of 24
pro vyhledávání: '"QasemiZadeh, Behrang"'
Autor:
QasemiZadeh, Behrang, Kallmeyer, Laura
We propose a new fast word embedding technique using hash functions. The method is a derandomization of a new type of random projections: By disregarding the classic constraint used in designing random projections (i.e., preserving pairwise distances
Externí odkaz:
http://arxiv.org/abs/1705.04253
Farsi, also known as Persian, is the official language of Iran and Tajikistan and one of the two main languages spoken in Afghanistan. Farsi enjoys a unified Arabic script as its writing system. In this paper we briefly introduce the writing standard
Externí odkaz:
http://arxiv.org/abs/1404.4740
In this article, we have introduced the first parallel corpus of Persian with more than 10 other European languages. This article describes primary steps toward preparing a Basic Language Resources Kit (BLARK) for Persian. Up to now, we have proposed
Externí odkaz:
http://arxiv.org/abs/1404.4572
Recent advances in computing, communication, and data storage have led to an increasing number of large digital libraries publicly available on the Internet. Main problem of content-based video retrieval is inferring semantics from raw video data. Vi
Externí odkaz:
http://arxiv.org/abs/1404.4543
Autor:
Savary, Agata, Ramisch, Carlos, Cordeiro, Silvio, Sangati, Federico, Vincze, Veronika, Qasemizadeh, Behrang, Candito, Marie, Cap, Fabienne, Giouli, Voula, Stoyanova, Ivelina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3684::7c5975d2aa95020f59f5d5f78e6076b7
http://hdl.handle.net/11574/181778
http://hdl.handle.net/11574/181778
Autor:
QasemiZadeh, Behrang
Knowledge is assumed by cognitive science to consist of concepts that are organised and maintained by complex processes taking place in human minds. These processes are not yet accessible directly. Language is still the primary medium for communicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1513::42990d2a8667b3cb842d1a8220f6b4ea
http://hdl.handle.net/10379/5205
http://hdl.handle.net/10379/5205
Autor:
QasemiZadeh, Behrang
Random indexing (RI) is an incremental method for constructing a vector space model (VSM) with a reduced dimensionality. Previously, the method has been justified using the mathematical framework of Kanerva's sparse distributed memory. This justifica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1513::01e4144ca843f9ceaaae457bb0d9222c
http://hdl.handle.net/10379/5087
http://hdl.handle.net/10379/5087
In this paper, we propose a method that combines the principles of automatic term recognition and the distributional hypothesis to identify technology terms from a corpus of scientific publications. We employ the random indexing technique to model te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1513::a03e81c7e41508a2edb4da7c1505f07a
http://hdl.handle.net/10379/4381
http://hdl.handle.net/10379/4381
Conference paper This paper introduces ACL RD-TEC: a dataset for evaluating the extraction and classification of terms from literature in the domain of computational linguistics. The dataset is derived from the Association for Computational Linguisti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1513::c2c3c59e023105b9e1f074fa6cfc798b
http://hdl.handle.net/10379/4489
http://hdl.handle.net/10379/4489
Conference paper Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in text processing. In these models, high-dimensional, often sparse vectors represent text units. In an application, the similarity of v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1513::e01ce6cb425cc83cc649a52714b9588b
http://hdl.handle.net/10379/4389
http://hdl.handle.net/10379/4389